Demographics details for Lake butler, FL vs Springfield, MA

Population Overview

Compare main population characteristics in Lake butler, FL vs Springfield, MA.

Data Lake butler Springfield
Population 17,765 154,064
Median Age 43.8 years 33.4 years
Median Income $150,316 $47,677
Married Families 55.0% 26.0%
Poverty Level 10% 20%
Unemployment Rate 4.5 6.9

Population Comparison: Lake butler vs Springfield

  • The population in Springfield is higher at 154,064, compared to 17,765 in Lake butler.
  • Residents in Lake butler have a higher median age of 43.8 years compared to 33.4 years in Springfield.
  • Lake butler has a higher median income of $150,316 compared to $47,677 in Springfield.
  • A higher percentage of married families is found in Lake butler at 55.0% compared to 26.0% in Springfield.
  • The poverty level is higher in Springfield at 20%, compared to 10% in Lake butler.
  • Springfield has a higher unemployment rate at 6.9% compared to 4.5% in Lake butler.

Demographics

Demographics Lake butler vs Springfield provide insight into the diversity of the communities to compare.

Demographic Lake butler Springfield
Black 6 21
White 53 8
Asian 16 3
Hispanic 12 49
Two or More Races 13 19
American Indian Data is updating Data is updating

Demographics Comparison: Lake butler vs Springfield

  • In Springfield, the percentage of Black residents is higher at 21% compared to 6% in Lake butler.
  • Lake butler has a higher percentage of White residents at 53% compared to 8% in Springfield.
  • The Asian population is larger in Lake butler at 16% compared to 3% in Springfield.
  • Springfield has a higher percentage of Hispanic residents at 49%, compared to 12% in Lake butler.
  • The percentage of residents identifying as two or more races is higher in Springfield at 19%, compared to 13% in Lake butler.
  • The percentage of American Indian residents is the same in both Lake butler and Springfield at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Lake butler Springfield
Mental Health Not Good 13.0% 21.2%
Physical Health Not Good 7.3% 14.9%
Depression 16.3% 25.8%
Smoking 11.4% 19.9%
Binge Drinking 15.8% 14.3%
Obesity 23.4% 40.8%
Disability Percentage 7.0% 19.0%

Health Statistics Comparison: Lake butler vs Springfield

  • In Springfield, a higher percentage report poor mental health at 21.2% compared to 13.0% in Lake butler.
  • Higher depression rates are seen in Springfield at 25.8% versus 16.3% in Lake butler.
  • Springfield has a higher smoking rate at 19.9% compared to 11.4% in Lake butler.
  • Binge drinking is more common in Lake butler at 15.8% compared to 14.3% in Springfield.
  • Springfield has higher obesity rates at 40.8% compared to 23.4% in Lake butler.
  • There is a higher percentage of disabled individuals in Springfield at 19.0% compared to 7.0% in Lake butler.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Lake butler Springfield
No Schooling 0.2% (37) 2.0% (3,005)
High School Diploma 5.1% (899) 16.7% (25,679)
Less than High School 2.9% (520) 23.8% (36,663)
Bachelor's Degree and Higher 41.2% (7,325) 12.7% (19,500)

Education Levels Comparison: Lake butler vs Springfield

  • In Springfield, a larger percentage of residents lack formal schooling at 2.0% compared to 0.2% in Lake butler.
  • In Springfield, the rate of residents with high school diplomas is higher at 16.7% compared to 5.1% in Lake butler.
  • The percentage of residents with less than a high school education is higher in Springfield at 23.8%, compared to 2.9% in Lake butler.
  • A higher percentage of residents in Lake butler hold a bachelor's degree or higher at 41.2% compared to 12.7% in Springfield.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.